{"id":"W7082995609","doi":"10.5281/zenodo.17184465","title":"Herbal Cosmeceuticals and Personalized Wellness; Innovations in Pharmaceutical and Biotechnological Approach","year":2025,"lang":"en","type":"book","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Hops Chemistry and Applications","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cosmeceuticals; Gratitude; Profiling (computer programming); Due diligence; Human use; Magic bullet; Product (mathematics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008847428,0.0002836097,0.0003442162,0.0002890027,0.001541093,0.0002147418,0.0006140625,0.000821718,0.005198107],"category_scores_gemma":[0.0004110245,0.0003036074,0.00004591548,0.0005381611,0.001195489,0.00007655204,0.001137457,0.002045659,0.000374752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001869697,"about_ca_system_score_gemma":0.00002410328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001241064,"about_ca_topic_score_gemma":8.052802e-8,"domain_scores_codex":[0.9979393,0.0003493088,0.0004151903,0.0006901732,0.0001882971,0.0004177255],"domain_scores_gemma":[0.9990233,0.0001574587,0.0001104995,0.0002790443,0.0002022173,0.0002275012],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003189869,0.0008627651,0.00001518283,0.0009210717,0.0002607235,0.00004391442,0.0006043368,0.0000170593,0.008263194,0.4464222,0.3401648,0.2021058],"study_design_scores_gemma":[0.001148926,0.00004916998,0.00003611613,0.00004875432,0.00008560939,0.0001200344,0.0001241311,0.0009935789,0.0007766809,0.003115208,0.9932187,0.0002830792],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004480588,0.00141857,0.001520553,0.005952812,0.00008791377,0.001310525,0.001069681,0.0007902538,0.9833691],"genre_scores_gemma":[0.3812246,0.01050563,0.002066099,0.007096117,0.001012812,0.000008044413,0.0222983,0.00315275,0.5726357],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6530539,"threshold_uncertainty_score":0.9999416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1296295382902753,"score_gpt":0.3906822408937649,"score_spread":0.2610527026034896,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}